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Record W2105425452 · doi:10.1163/156916306776150278

Social Movements and the State: Political Power Dynamics in Latin America

2006· article· en· W2105425452 on OpenAlexaff
James Petras, Henry Veltmeyer

Bibliographic record

VenueCritical Sociology · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American socio-political dynamics
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsGrassrootsSocial movementLatin AmericansPoliticsSocial changePolitical economyPolitical sciencePower (physics)New social movementsSociologyState (computer science)Development economicsEconomicsLaw

Abstract

fetched live from OpenAlex

In Latin America, it is possible to identify three basic modalities of social change and political power: electoral politics, the construction of social movements, and social action in the direction of local development. But radical politics of mass mobilisation remains the indispensable condition for advancing the struggle for social change towards a new world of social justice and real development based on popular power. An analysis of events over recent years shows that the regional scene has become punctuated with new dynamics of change. This change is based on the advance of an alternative social or non-political approach associated with the rise of grassroots, community forms of social organisation and local development. This phenomenon constitutes a central issue in political developments across Latin America today. The authors have come to this conclusion on the basis of a systematic comparative analysis of the relationship between the state and social movements in four countries: Argentina, Brazil, Bolivia and Ecuador.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0030.013
Scholarly communication0.0060.003
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.337
Teacher spread0.326 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations32
Published2006
Admission routes1
Has abstractyes

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